Data from: An implicit, conservative electrostatic particle-in-cell algorithm for paraxial magnetic nozzles

Data from: An implicit, conservative electrostatic particle-in-cell algorithm for paraxial magnetic nozzles

- Authors: Pedro Jimenez, Luis Chacon, Mario Merino

- Contact email: [e-mail]

- Date: 2024-02-09

- Keywords: electric propulsion, plasma simulation, magnetic nozzles, implicit particle-in-cell (PIC)

- Version: 1.2

- Digital Object Identifier (DOI): 10.5281/zenodo.8081962

- License: This dataset is made available under the Open Data Commons Attribution License

Abstract

This dataset contains the data found in the plots of the journal article:

Pedro Jimenez, Luis Chacon, Mario Merino, "An implicit, conservative electrostatic particle-in-cell algorithm for paraxial magnetic nozzles"

The data in this repository are the results of kinetic plasma simulations as described in the reference. For further information on the setup for the simulation please refer to the article.

Data Files

The data files are in .csv format. They were produced in Julia using CSV.jl and DataFrames.jl libraries.

The files are organised following the order of the figures in the article. All the plots are 1D series, the first column corresponding to the x-axis data. Y-axis data is presented in the following columns, the total number of additional columns is equal to the number of line series. The title of each series is found in the first row of the .csv files. Please find below some specificalities in certain figures:

- The columns for the time evolution in fig6_left.csv and fig6_right.csv (corresponding to the actual left and right columns in the figure i.e. cases A and B) contain a field tag followed by the corresponding time step (e.g. phi_500).

- Due to the different number of nodes, steady state fields for cases A and B are saved in fig8_a-f.csv while cases AF and BF are saved in fig8_a-f_fine.csv.

The rest of the data files should be self descripting

Citation

Any works using this dataset or any part of it in any form shall cite it as follows:

The prefered means of citation is to reference the publication asociated to the jounal article with DOI: 10.1016/j.jcp.2024.112826

The BibTex is also provided for the sake of convinience:

@article{jimenez2024implicit,
title={An implicit, conservative electrostatic particle-in-cell algorithm for paraxial magnetic nozzles},
author={Jim{\'e}nez, Pedro and Chac{\'o}n, Luis and Merino, Mario},
journal={Journal of Computational Physics},
pages={112826},
year={2024},
publisher={Elsevier}
}

Optionally the dataset can be cited by referencing the corresponding DOI:

https://doi.org/10.5281/zenodo.8081962

Acknowledgments

This dataset was created by the [ERC-ZARATHUSTRA project](https://erc-zarathustra.uc3m.es/).

The ERC-ZARATHUSTRA project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 950466).